Capital One Services, LLC

Ebrima N Ceesay

Clayton Johnson

Mohamed Seck

Jiye Luo

Ravi K Ivaturi

Hrishikesh Mukundan Menon

In some implementations, a data management system may obtain, via a data interlocutor, a set of data intended for inclusion in a database, wherein the set of data is associated with at least one data type, wherein the set of data comprises at least one data value. The data management system may generate, via the data interlocutor, a set of data entities based on the set of data and a set of security metadata associated with the set of data, wherein the set of data entities comprises a data entity associated with a data value of the at least one data value, the data entity comprising transaction authorization information associated with the data value. The data management system may output, via the data interlocutor, the set of data entities for inclusion in the database.

Transforming data into data entities

An automated method is provided for validating an action based on beacon source proximity to a user device. A user data processing device receives from a remote action validation server an action validation request. The request includes identification of an authentication device that may include a beacon transmitter and identification of a proposed action associated with the authentication device. The user data processing device determines whether the authentication device is within beacon signal reception range of the user data processing device and transmits an action validation response to the remote action validation processing system.

System and method for beacon-based action validation

Systems and methods of data replication via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: utilizing a trained replication machine learning model to identify an existing object in the bucket for replication, and a commencing time to replicate the existing object, the commencing time determined based on replication failure predicted by the replication machine learning model; capturing, in response to identifying the existing object for replication, a snapshot of the bucket, the snapshot comprising information related to at least one of: the existing object, metadata of the existing object, and/or an access control list (ACL) of the existing object; and replicating the existing object to a destination cloud according to the determined commencing time, the destination cloud being hosted at a cross-region storage.

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McLean, VA, United States of America

Ebrima N Ceesay